CAJ | 학술논문

针对一直困扰棉纺企业的异性纤维问题，从工程实际出发，提出一种快速高效的棉花异纤维在线检测及定位方法。该方法在RGB颜色空间建立了一种判断异性纤维的检测模型及模型参数的离线学习方法，以实现棉花与异性纤维的快速分割；基于形态学处理及连通区域分析算法实现异纤维的准确定位。进一步通过对剔除系统中电磁阀的响应特性测试，提出了剔除时间补偿的思想，可以保证对异性纤维的精准剔除。实验结果表明，该方法能够有效地检测并剔除棉花中的大部分异性纤维。
침대일직곤우면방기업적이성섬유문제，종공정실제출발，제출일충쾌속고효적면화이섬유재선검측급정위방법。해방법재RGB안색공간건립료일충판단이성섬유적검측모형급모형삼수적리선학습방법，이실현면화여이성섬유적쾌속분할；기우형태학처리급련통구역분석산법실현이섬유적준학정위。진일보통과대척제계통중전자벌적향응특성측시，제출료척제시간보상적사상，가이보증대이성섬유적정준척제。실험결과표명，해방법능구유효지검측병척제면화중적대부분이성섬유。
Aiming at the problem of foreign fibers in cotton spinning enterprise, a fast and efficient detecting and locating method for foreign fibers in cotton is proposed. In order to achieve fast segmentation of the fibers from cotton, a detecting model of foreign fibers and the model parameters offline learning method are established in RGB color space. Then morphological processing and connected area analysis algorithm are implemented for accurate location of the different foreign fibers in cotton. Furthermore, eliminating time compensation thought is put forward according to the test of electromagnetic valve response characteristics, which can guarantee the precision of elimination of the foreign fibers. The experimental results prove that this method can achieve to detect and eliminate most of the fibers in cotton.